Design and Implementation of Cloud-assisted Computing Services for Wireless Body Area Networks

  • 江 華珮

Student thesis: Doctoral Thesis


With the advancement of sensor and wireless network technologies related application services have sprung up nearly everywhere in people’s daily lives For example in the information entertainment fitness medical care and industrial/military application domains sensors are embedded in the body or located around the body to collect information forming a wireless body area network The sensor transfers the collected physiological data via Wireless Body Area Network (WBAN) to a cloud server the data are analyzed by the cloud server and fed back to the user so that the user can obtain the required information in a timely fashion However the human body sensor must be as miniature and light as possible and the cell size shall not be too large Therefore energy efficiency becomes the most important point of wireless WBAN Many studies have connected the cloud network with WBAN using the arithmetic capability of the former to reduce the energy consumption of the latter Thus the key point of this study is how to combine WBAN with a cloud network for collaborative computing This study designs and implements a system for WBAN as well as analyzes and discusses the physiological information collected by WBAN The concept and mechanism of learning are imported into the sensor with the information received by the sensor indirectly so as to implement subsequent processing and application This is more efficient than the learning method when other sensors detect actual emergencies actively the level of ex ante forecast is effectively reached and energy is saved to a greater extent
Date of Award2016 Jul 26
Original languageEnglish
SupervisorYueh-Min Huang (Supervisor)

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